alexanderromanenko / PY-Stock-Market-Clustering
Algorithmic approach to analysing performance and the similarity of different stocks in S&P 500 via cluster analysis.
☆9Updated 8 years ago
Alternatives and similar repositories for PY-Stock-Market-Clustering
Users that are interested in PY-Stock-Market-Clustering are comparing it to the libraries listed below
Sorting:
- Market Risk Management with Time Series Prediction of Stock Market Trends using ARMA, ARIMA, GARCH regression models and RNN for time ser…☆21Updated 7 years ago
- A Streamlit based application to predict future Stock Price and pipeline to let anyone train their own multiple Machine Learning models o…☆90Updated 9 months ago
- Short Term Trading Strategy developed using technical Indicators like RSI-MACD-ADX-Bollinger Bands and study the effect of Broad Market D…☆17Updated 8 years ago
- Stock Price prediction using news data. The datasets used consists news and stock price data from 2008 to 2016. The polarity(Subjectivity…☆48Updated 7 years ago
- keywords - Kmeans Clustering, Tsne, PCA, Indian Stocks, Johansen test☆32Updated 6 years ago
- Math Techniques viz. ARIMA, Frequency Decomposition, Fourier Filtering, Linear Regression & Bi-directional LSTMs on Feature Engineered S…☆22Updated 5 years ago
- This tool is developed to scrape twitter data, process the data, and then create either an unsupervised network to identify interesting p…☆17Updated last year
- Uisng CNN to predicte stock market trend, and feeding with 2D images☆15Updated 6 years ago
- ☆22Updated 5 years ago
- Master's degree project: Development of a trading algorithm which uses supervised machine learning classification techniques to generate …☆26Updated 7 years ago
- Code implementation of "SENN: Stock Ensemble-based Neural Network for Stock Market Prediction using Historical Stock Data and Sentiment A…☆73Updated 4 years ago
- ☆25Updated 2 years ago
- Stock market forecasting using the ARIMA model.☆49Updated 3 years ago
- Exploratory analysis, visualization of stock market data along with predictions made on it using different techniques.☆38Updated last year
- trading strategy is a fixed plan to go long or short in markets, there are two common trading strategies: the momentum strategy and the …☆60Updated 5 years ago
- In this work an application of the Triple-Barrier Method and Meta-Labeling techniques is explored with XGBoost for the creation of a sent…☆20Updated last year
- Cointegration Test in python☆28Updated 6 years ago
- ☆73Updated 3 years ago
- Dynamic algorithmic trading systems in Python using Interactive Broker's Python API☆22Updated 4 years ago
- Machine learning trading method using meta-labeling. You can see the details in 'Advances in Financial Machine Learning' by Lopez de Prad…☆13Updated 3 years ago
- Python based Quant Finance Models, Tools and Algorithmic Decision Making☆46Updated 7 years ago
- Implementation of option pricing models using Numba that performs better. This entire project has utilized as little libraries as possibl…☆16Updated 2 years ago
- Stock closing and opening forecasting using Deep neural network and LSTM(technical indicators included)☆20Updated 7 years ago
- The random forest, FFNN, CNN and RNN models are developed to predict the movement of future trading price of Netflix (NFLX) stock using t…☆60Updated 3 years ago
- In this project, I had backtested the cross-over trading strategy on Google Stock from Jan 2016 to June 2020. By using historical time-se…☆45Updated 4 years ago
- Deep q learning on determining buy/sell signal and placing orders☆49Updated 5 years ago
- Compilation of technical analysis tools (EMA, Bollinger bands), fundamental analysis, machine learning models (LSTM, Random forest, ARIMA…☆13Updated 3 years ago
- Stock and Forex market prediction using ML and time-series modelling☆38Updated 6 years ago
- This project explores stock trading modelling with the use recurrent neural network (RNN) with long-short term memory (LSTM) architecture…☆26Updated 6 years ago
- ☆38Updated 4 years ago